{"id":"W2799612938","doi":"10.3390/diagnostics8020041","title":"Inhaled Xenon Washout as a Biomarker of Alzheimer’s Disease","year":2018,"lang":"en","type":"article","venue":"Diagnostics","topic":"Anesthesia and Neurotoxicity Research","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"NOSM University; Thunder Bay Regional Health Sciences Centre; Lakehead University; Thunder Bay Regional Research Institute","funders":"Canadian Institutes of Health Research; Weston Brain Institute; BrightFocus Foundation","keywords":"Washout; Biomarker; Medicine; Xenon; Disease; Internal medicine; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001352817,0.0001339132,0.0001677369,0.0001174347,0.0001222565,0.00002995616,0.0003325447,0.00005414804,0.0004180056],"category_scores_gemma":[0.00596567,0.0001187159,0.00007637576,0.0003622301,0.0005863814,0.00008658986,0.0001279728,0.0001093919,0.0009592776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009683357,"about_ca_system_score_gemma":0.0001211974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000148056,"about_ca_topic_score_gemma":0.000001532123,"domain_scores_codex":[0.9984825,0.0001615843,0.0002145546,0.0003352484,0.0004708847,0.0003351905],"domain_scores_gemma":[0.9980868,0.001073929,0.00007367692,0.0004089574,0.00009332409,0.0002633556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001378866,0.003067332,0.07997193,0.0001681197,0.0000574592,0.005767236,0.001242132,0.00000628635,0.8102775,0.02179566,0.05407347,0.02219404],"study_design_scores_gemma":[0.0004278808,0.0004053095,0.04035512,0.00005509801,0.00005079838,0.00004876928,0.00001629857,0.00114125,0.9452362,0.001097024,0.01095619,0.0002100775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991751,0.0001296055,0.00003890992,0.0006321224,0.0001245249,0.0004509701,0.00002589346,0.00006111145,0.006785863],"genre_scores_gemma":[0.9979206,0.0003682195,0.00002838306,0.00126472,0.00009375652,0.00003246657,0.000002382491,0.00002644981,0.0002630677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1349587,"threshold_uncertainty_score":0.9998186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09444957734539411,"score_gpt":0.3593714211659546,"score_spread":0.2649218438205605,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}